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Getting started with repository analysis

Repolyze provides deep insights into GitHub repositories by analyzing code structure, quality, security, and maintainability.
1

Enter the repository URL

Navigate to the Repolyze homepage and paste a GitHub repository URL into the input field.
https://github.com/username/repository
Both public and accessible private repositories are supported.
2

Start the analysis

Click the Analyze button to begin. The analysis process includes multiple stages:
  • Fetching: Retrieving repository metadata and branch information
  • Parsing: Building the file tree structure
  • Analyzing: Running code quality, security, and pattern detection
Analysis typically completes in 30-60 seconds depending on repository size.
3

Review the results

Once complete, you’ll see a comprehensive analysis dashboard with:
  • Overall quality score and category breakdowns
  • Technology stack detection
  • Security vulnerabilities and exposed secrets
  • Code patterns and design principles
  • Refactoring opportunities
  • Automation suggestions

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Understanding the analysis process

Repolyze performs comprehensive analysis across multiple dimensions:

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Code Quality Analysis

The analyzer examines your codebase for:
  • TypeScript Usage: Detects TypeScript files and checks for strict mode configuration in tsconfig.json
  • Linting Setup: Identifies ESLint, Biome, or other linting configurations
  • Code Formatting: Checks for Prettier or similar formatting tools
  • Error Handling: Scans for try-catch blocks and error handling patterns
  • Logging: Detects console statements and logging libraries (Winston, Pino)
  • Validation: Finds validation libraries like Zod, Yup, or Joi
The code quality score starts at 50 and adds points for:
  • +20 points: TypeScript usage
  • +10 points: Strict mode enabled
  • +10 points: Linting configured
  • +5 points: Prettier setup
  • +5 points: Error handling patterns detected
Maximum score: 100

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Documentation Assessment

Your repository’s documentation is evaluated based on:
  • README Quality: Analyzed for installation instructions, usage examples, and code blocks
  • CHANGELOG: Presence of version history tracking
  • LICENSE: Verification of licensing information
  • CONTRIBUTING: Guidelines for contributors
  • Excellent: 500+ characters with install, usage, and code examples
  • Good: 300+ characters with at least 2 key sections
  • Basic: 300+ characters
  • Minimal: 100-300 characters
  • Missing: Less than 100 characters

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Security Scanning

Repolyze identifies potential security issues:
  • Exposed Secrets: Scans for API keys, tokens, passwords in code (excluding .example files)
  • Security Configuration: Checks for Dependabot, Snyk, or similar tools
  • Vulnerable Dependencies: Detects deprecated packages like moment.js or request
  • Environment Variables: Verifies .env.example exists when .env is present
If secrets are detected, the security score is reduced by 30 points. Always use environment variables and never commit credentials to version control.

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Design Pattern Detection

The analyzer identifies common design patterns in your codebase:
  • Singleton Pattern: getInstance(), private constructors
  • Factory Pattern: createXxx() methods, Factory classes
  • Observer Pattern: EventEmitter, addEventListener, subscribe()
  • Middleware Pattern: Express-style middleware chains
  • Repository Pattern: Data access layer abstractions
  • MVC Architecture: Models, Views, Controllers folder structure
  • Component-Based Architecture: React/Vue component patterns

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Entry Point Detection

Repolyze automatically identifies how to run your application:
  • Package.json main, module, bin entries
  • NPM scripts: start, dev, build, serve
  • Common entry files: index.js, main.ts, app.js, server.js
  • Framework-specific: Next.js layouts, Django manage.py

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What gets analyzed

Repolyze analyzes the following repository elements:
  • JavaScript/TypeScript (.js, .ts, .jsx, .tsx)
  • Python (.py)
  • Go (.go)
  • Rust (.rs)
  • Configuration files (package.json, tsconfig.json)
  • Directory organization
  • File naming conventions
  • Module dependencies
  • Import/export patterns
  • README.md content and quality
  • CHANGELOG.md
  • CONTRIBUTING.md
  • LICENSE file
  • Code comments
  • CI/CD setup (GitHub Actions, GitLab CI, Jenkins)
  • Security tools (Dependabot, Snyk)
  • Environment configuration
  • Git hooks (Husky)

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Analysis limitations

File Size Limits: Files larger than 10,000 characters are flagged as “large files” for performance reasons.Content Sampling: For repositories with extensive codebases, analysis focuses on key files and representative samples.Binary Files: Images, compiled binaries, and other non-text files are excluded from analysis.

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Next steps

Branch Analysis

Learn how to analyze different branches of your repository

Understanding Scores

Deep dive into how scores are calculated

Export Reports

Save and share your analysis results

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